Automated
Databricks
Optimization
No more manual tuning.
Get faster, cheaper Databricks workloads.
5-minute installation
Immediate value
Up to
60 %
cost reduction
Up to
25 %
reduction in job failures
0
zero-touch
Trusted by
Autoscaling
Reinvented
Zipher is the only Spark-aware scaler that uses ML to actively learn and profile your workloads. This approach adjusts cluster resources in real-time and drives a continuous improvement that maximizes efficiency and reduces costs, while adapting to the ever-changing needs of your running workloads.
Learn More >Dynamic Cluster
Configuration
Say goodbye to static manual setup for cluster configuration. Zipher leverages our proprietary ML models to select the optimal settings in real-time, including hardware configuration, Spark configurations and availability zones, while considering spot instance availability and termination probabilities.
Learn More >Tailored
Orchestration
Zipher enables you to define the required frequency and duration of your workloads. You can focus on your business needs, while Zipher triggers your workloads in the most optimal time to minimize costs and maximize resource availability.
Learn More >Seamless integration with your
cloud data stack
Trusted in production by leading
global data teams
"Once we integrated Zipher’s optimization tool, we saw a significant impact within days. The improved efficiency of our Spark workloads led to substantial cost savings and enhanced performance across our data platform."
S. Hacohen
Data Engineering Team Lead
"Zipher has completely transformed the way we manage our Databricks workflows, driving significant improvements and optimizations to our data infrastructure. We greatly appreciate the team's exceptional support and collaboration, ensuring a seamless and successful deployment."
M. Birger
VP Data & AI/ML Engineering
"We were looking for ways to lower our data processing costs. Zipher exceeded our expectations. Their autoscaler led to a remarkable drop in costs. The savings are substantial, and we're seeing better performance, too."
M. Derri
Data Platform Lead
"The best part of working with Zipher is that the entire optimization process was hands-off and didn't require us to dedicate time or resources to the project. It's basically free money."
Y. Shaham
VP Data
“With Zipher, we were able to achieve what every data leader wants – significant cost savings without compromising performance. It was like flipping a switch: no disruption, no code changes, just immediate efficiency. Zipher has become an important part of our data stack.”
Y. Vidergor
VP Data
Start cutting your Databricks costs
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